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Abstract. The paper describes one of the indicators of the passenger traffic quality -passengers travel time in the city of Rostov-on-Don. The studied quality index is analyzed in comparison with the standard value for urban passenger transport in Rostov-on-Don.The paper suggests the measures to improve the operation of urban passenger transport.

Possible ways of using the method of regressive support vector machines for predicting passenger traffic are presented. It is proved that the optimization algorithm allows solving the problem within the limits of the considered methods.